RRepoGEO

REPOGEO REPORT · LITE

BrainBlend-AI/atomic-agents

Default branch main · commit f849087b · scanned 5/17/2026, 11:26:40 PM

GitHub: 5,923 stars · 509 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface BrainBlend-AI/atomic-agents, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Refine the 'About' description for clearer positioning

    Why:

    CURRENT
    Building AI agents, atomically
    COPY-PASTE FIX
    A lightweight, modular Python framework for building composable AI agents and LLM pipelines with atomic, reusable components, inspired by software engineering principles.
  • mediumtopics#2
    Add more specific topics related to AI agents and frameworks

    Why:

    CURRENT
    ai, artificial-intelligence, large-language-model, large-language-models, llms, openai, openai-api
    COPY-PASTE FIX
    ai, artificial-intelligence, large-language-model, large-language-models, llms, openai, openai-api, ai-agents, llm-agents, agent-framework, python-framework, agentic-ai, modular-ai
  • mediumhomepage#3
    Set the repository's homepage URL

    Why:

    COPY-PASTE FIX
    https://brainblend-ai.github.io/atomic-agents/

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface BrainBlend-AI/atomic-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. CrewAI · recommended 2×
  4. deepset/Haystack · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How to build modular and reusable AI agent pipelines with LLMs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. Microsoft Semantic Kernel
    5. OpenAI Assistants API
    6. CrewAI
    7. AutoGen

    AI recommended 7 alternatives but never named BrainBlend-AI/atomic-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight Python framework for building composable LLM-powered agents efficiently.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. Haystack
    5. Autogen

    AI recommended 5 alternatives but never named BrainBlend-AI/atomic-agents. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of BrainBlend-AI/atomic-agents?
    pass
    AI did not name BrainBlend-AI/atomic-agents — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts BrainBlend-AI/atomic-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BrainBlend-AI/atomic-agents explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo BrainBlend-AI/atomic-agents solve, and who is the primary audience?
    pass
    AI did not name BrainBlend-AI/atomic-agents — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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BrainBlend-AI/atomic-agents — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite